( en | de | ru )

 

Disambiguation of "Anagnostopoulos, Christoforos"

Author of the publication

copydeleteadd this publication to your clipboard
The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI.

, , , , , , and . NeuroImage, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Christoforos Neofytidis

Eleni Anagnostopoulos

Christoforos Papaioannou

Joannis Anagnostopoulos

Charalambos Anagnostopoulos

 

Other publications of authors with the same name

A framework for adaptive regularization in streaming Lasso models., , and . CoRR, (2016)When is the area under the receiver operating characteristic curve an appropriate measure of classifier performance?, and . Pattern Recognit. Lett., 34 (5): 492-495 (2013)Text-mining the neurosynth corpus using deep boltzmann machines., , , , and . PRNI, page 1-4. IEEE, (2016)Deciding what to observe next: adaptive variable selection for regression in multivariate data streams., , and . SAC, page 961-965. ACM, (2008)Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks., , and . Comput. J., 53 (9): 1401-1414 (2010)Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods., , , , , and . Frontiers Comput. Neurosci., (2017)Estimating time-varying brain connectivity networks from functional MRI time series., , , , , and . NeuroImage, (2014)Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data., , , , , and . PRNI, page 1-4. IEEE Computer Society, (2015)A better Beta for the H measure of classification performance, and . CoRR, (2012)A better Beta for the H measure of classification performance., and . Pattern Recognit. Lett., (2014)